Exact classification of nmr spectra from nmr signals

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dc.catalogadorjlo
dc.contributor.authorLehmann, Pedro Izquierdo
dc.contributor.authorXavier, Aline
dc.contributor.authorAndia Kohnenkampf, Marcelo Edgardo
dc.contributor.authorSing Long Collao, Carlos Alberto
dc.date.accessioned2024-07-19T14:05:40Z
dc.date.available2024-07-19T14:05:40Z
dc.date.issued2024
dc.description.abstractNuclear magnetic resonance (NMR) spectroscopy is routinely used to study the properties of matter. Therefore, different materials can be classified according to their NMR spectra. However, the NMR spectra cannot be observed directly, and only the NMR signal, which is a sum of complex exponentials, is directly observable in practice. A popular approach to recover the spectrum is to perform harmonic retrieval, i.e., to reconstruct exactly the spectrum from the NMR signal. However, even when this approach fails, the spectrum might still be classified accurately. In this work, we model the spectrum as an atomic measure to study the performance of classifying the spectrum from the NMR signal, and to determine how it degrades in the presence of additive noise and changes in field intensity. Although we focus on NMR signals, our results are broadly applicable to sum-of-exponential signals. We show numerical results illustrating our claims.
dc.description.funderANID
dc.description.funderFondecyt
dc.fechaingreso.objetodigital2024-09-03
dc.fuente.origenSCOPUS
dc.identifier.doi10.1109/ICASSP48485.2024.10446412
dc.identifier.issn1520-6149
dc.identifier.scopusidSCOPUS_ID:85195402094
dc.identifier.urihttps://doi.org/10.1109/ICASSP48485.2024.10446412
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/87167
dc.information.autorucEscuela de Ingeniería; Andia Kohnenkampf, Marcelo Edgardo; 0000-0002-1251-5832; 90691
dc.information.autorucEscuela de Ingeniería; Sing Long Collao, Carlos Alberto; 0000-0002-2533-2509; 126170
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final9775
dc.pagina.inicio9771
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofIEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024
dc.revistaICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
dc.rightsacceso restringido
dc.subjectEnd-to-end classification
dc.subjectHarmonic retrieval
dc.subjectHarmonic signals
dc.subjectMagnetic resonance spectroscopy
dc.subjectNuclear magnetic resonance spectroscopy
dc.subjectSignal classification
dc.subjectSum of exponentials
dc.subject.ddc620
dc.subject.deweyIngenieríaes_ES
dc.titleExact classification of nmr spectra from nmr signals
dc.typecomunicación de congreso
sipa.codpersvinculados90691
sipa.codpersvinculados126170
sipa.trazabilidadSCOPUS;2024-06-23
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